July 2025

Conference Paper

Secure API-Driven Research Automation to Accelerate Scientific Discovery

By:
Skluzacek, Tyler J; Bryant, Paul J; Ruckman, Arthur J; Rosendo, Daniel ; Prentice, Suzanne T; Brim, Michael J; Adamson, Ryan M; Oral, Hakki S; Ferreira Da Silva, Rafael
Page Number:
1-5
Book Title:
Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration
Publication Date:
July 2025
Publisher Location:
Association for Computing Machinery, New York, New York, United States of America
Conference Name:
PEARC 2025: Practice and Experience in Advanced Research Computing
Conference Location:
Columbus, Ohio, United States of America
Conference Sponsor:
ACM
View DOI Listing:
https://doi.org/10.1145/3708035.3736072

Abstract

The Secure Scientific Service Mesh (S3M) provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time streaming capabilities, intelligent workflow orchestration, and fine-grained authorization within a service mesh architecture, S3M enables secure and flexible programmatic access to high performance computing (HPC) resources. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and enabling AI-augmented autonomous science. S3M establishes a modern foundation for scientific computing infrastructure that significantly reduces traditional barriers between researchers, computational resources, and experimental facilities.